Samsung Electronics Co., Ltd.

Seoul National University

Jae Woong Soh

Nam Ik Cho

Donghyun Kim

Jaewoo Park

Youngsu Moon

Hyunseung Lee

Taegyoung Ahn

Yoonsik Kim

Byeongyong Ahn

Yeong Il Jang

An image processing device includes an encoder which infers latent variables from an input noisy image based on a preset noise. A denoiser removes the noise from the input noisy image to generate a denoising image. A decoder reconstructs a noisy image, using the inferred latent variable. The latent variables are learned on the basis of a difference between the reconstructed noisy image and the input noisy image.

Image processing device for image denoising

An electronic apparatus is provided. The electronic apparatus includes a storage configured to store a compression rate network model configured to determine a compression rate applied to an image block from among a plurality of compression rates, and a plurality of compression noise removing network models configured to remove compression noise for each of the plurality of compression rates, and a processor configured to: obtain a compression rate of each of a plurality of image blocks included in a frame of a decoded moving picture based on the compression rate network model, obtain the compression rate of the frame based on the plurality of obtained compression rates, and remove compression noise of the frame based on a compression noise removing network model corresponding to the compression rate of the frame from among the plurality of compression noise removing network models. The compression rate network model can be obtained by learning image characteristics of a plurality of restored image blocks corresponding to each of the plurality of compression rates through a first artificial intelligence algorithm, and the plurality of restored image blocks can be generated by encoding a plurality of original image blocks, and decoding the encoded plurality of original image blocks, and the plurality of compression noise removing network models can be obtained by learning a relation between the plurality of original image blocks and the plurality of restored image blocks through a second artificial intelligence algorithm.

Electronic apparatus and control method thereof

Growing community of inventors

Seoul, South Korea

Jae Woong Soh